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Found 7 papers, 7 papers with code
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
However, prevalent discriminative correlation filter (DCF) based trackers are insensitive to target mutations due to a predefined label, which concentrates on merely the centre of the training region.
ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
The target-aware mask can be applied to jointly train a target-focused filter that assists the context filter for robust tracking.
All-Day Object Tracking for Unmanned Aerial Vehicle
However, prior tracking methods have merely focused on robust tracking in the well-illuminated scenes, while ignoring trackers' capabilities to be deployed in the dark.
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation
Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field.
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years.
Training-Set Distillation for Real-Time UAV Object Tracking
After the establishment of a new slot, the weighted fusion of the previous samples generates one key-sample, in order to reduce the number of samples to be scored.
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
Traditional framework of discriminative correlation filters (DCF) is often subject to undesired boundary effects.
